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Ben Haydon
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Journal Articles

Generalized Empirical Regret Bounds for Control of Renewable Energy Systems in Spatiotemporally Varying Environments

Ben Haydon, Jack Cole, Laurel Dunn, Patrick Keyantuo, Fotini K. Chow, Scott Moura, Chris Vermillion
Journal: Journal of Dynamic Systems, Measurement, and Control
Article Type: Technical Briefs
J. Dyn. Sys., Meas., Control. April 2022, 144(4): 044501.
Paper No: DS-20-1226
https://doi.org/10.1115/1.4052396
Published Online: January 25, 2022
View Article titled, Generalized Empirical Regret Bounds for Control of Renewable Energy Systems in Spatiotemporally Varying Environments
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Topics: Algorithms, Dimensional analysis, Energy generation, Probability, Renewable energy, Simulation, Wind, Wind energy systems, Wind velocity, Wind energy
Proceedings Papers

Empirical Regret Bounds for Control in Spatiotemporally Varying Environments: A Case Study in Airborne Wind Energy

Ben Haydon, Jack Cole, Laurel Dunn, Patrick Keyantuo, Tina Chow, Scott Moura, Chris Vermillion
Proc. ASME. DSCC2019, Volume 2: Modeling and Control of Engine and Aftertreatment Systems; Modeling and Control of IC Engines and Aftertreatment Systems; Modeling and Validation; Motion Planning and Tracking Control; Multi-Agent and Networked Systems; Renewable and Smart Energy Systems; Thermal Energy Systems; Uncertain Systems and Robustness; Unmanned Ground and Aerial Vehicles; Vehicle Dynamics and Stability; Vibrations: Modeling, Analysis, and Control, V002T22A002, October 8–11, 2019
Paper No: DSCC2019-9068
https://doi.org/10.1115/DSCC2019-9068
View Paper titled, Empirical Regret Bounds for Control in Spatiotemporally Varying Environments: A Case Study in Airborne Wind Energy
Open the PDF for Empirical Regret Bounds for Control in Spatiotemporally Varying Environments: A Case Study in Airborne Wind Energy in another window
Topics: Energy generation, Engineering simulation, Probability, Simulation, Wind, Wind energy, Wind energy systems